The Demand Distribution curve illustrates how a TV show’s popularity compares to the demand benchmark, which is a measure of the average demand across all titles. The curve is divided into performance buckets, ranging from “Below Average” to “Exceptional”. A show falls into one of these performance buckets depending on how many times more or less demand it has compared to the demand benchmark.
The show’s performance is market-specific, e.g. the same show can be in the “Average” range in the United States and in the “Good” range in France.
As an example, if a show has 9 times more demand than the demand benchmark, it falls in the “Outstanding” performance range; only 2.7% of all shows in the market reach this high level of demand.
Parrot Analytics data can provide entertainment executives with valuable insights and information to aid in content valuation, programming decisions, and distribution decisions. The show "Queen Charlotte: A Bridgerton Story" provides a powerful example of how demand data can be leveraged to inform these decisions.
Firstly, content valuation is a vital part of content decisions, and demand data can be used to calculate the baseline value of a title. Based on the high audience demand of "Queen Charlotte: A Bridgerton Story" in the United States, executives can determine the economic value contribution of this title to their platform. Demand data can reveal how much a series is worth, the value of a content library over time, and how exclusivity can impact value.
Moreover, platforms can use demand data to quantify a specific title's ability to drive engagement across the rest of the catalog. By examining the shows that fans of "Queen Charlotte: A Bridgerton Story" enjoy, executives can identify and acquire or produce complementary content to drive increased interest and viewership.
In addition, demand data can inform content acquisition decisions. With high audience demand in the United States for "Queen Charlotte: A Bridgerton Story," this data could indicate that it is a series worth acquiring for distribution. Furthermore, executives can use demand data to find new opportunity markets for content distribution and assess the value of any individual series or an entire library available on any streaming service.
Demand data can also inform programming decisions. Armed with insights into the tastes and preferences of their audience, executives can predict how popular a show will be in different geographies and market segments. The information available in market rankings, trends, and network fit analysis can be used to understand how series may perform in particular regions. As such, executives can plan release strategies and pricing, choose the best platforms for distribution, and optimize pre-release marketing campaigns ahead of premieres.
Finally, demand data can inform decisions about subscriber retention and acquisition. If an SVOD platform is looking to keep its current audience happy, they can use demand data to identify titles they should acquire, such as "Queen Charlotte: A Bridgerton Story." Similarly, executives can use these insights to select content that attracts new subscribers to their platform.
In summary, demand data can provide entertainment executives with the information needed to make more informed content, acquisition, distribution, and programming decisions. As evidenced by "Queen Charlotte: A Bridgerton Story," this valuable intelligence can be leveraged to maximize the value of any series, franchise, or library for any platform or market.
This is Queen Charlotte: A Bridgerton Story's home market and therefore its travelability is 100%; the travelability of a TV show's market of origin is always 100%. Click through to another market to discover how well Queen Charlotte: A Bridgerton Story travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular Netflix‘s Queen Charlotte: A Bridgerton Story is in any of the following selected markets. Need data for other markets? Find out more about DEMAND360LITE.
Parrot Analytics is the leading global content demand analytics company for the multi-platform business of television. With the world’s largest TV audience demand dataset, the company currently tracks more than 1.5B daily expressions of demand in 100 languages, not only in the United States, but also in 100+ other markets around the world to reveal the television content that consumers watch (viewership) and give their attention to the most.
Parrot Analytics' television demand data highlights the global TV content monetization opportunities for Netflix and thousands of TV studios, linear networks, broadcasters, pay TV providers and OTT / SVOD platforms.
Unlike TV ratings, our DemandRank TV rating system ensures that important demand signals are weighted more heavily than others: The more consumer effort required; the more importance is attached to each signal. Once all the signals are weighted and combined, the audience demand for Queen Charlotte: A Bridgerton Story, for example, can be assessed for a market e.g. United States, which can then be benchmarked against genre averages (e.g. Romantic Drama), using our globally standardized Demand Expressions® metric.
This page has been amended on April 22, 2024, 2:03 p.m. PST using tv demand metrics from Parrot Analytics for Queen Charlotte: A Bridgerton Story in the United States. We provide our partners with extensive subscription-video-on-demand analyses to help them drive better and more informed content investment strategies. Contact us today to find out more.